Articulatory Synthesis
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Articulatory Synthesis
Articulatory synthesis refers to computational techniques for synthesizing speech based on models of the human vocal tract and the articulation processes occurring there. The shape of the vocal tract can be controlled in a number of ways which usually involves modifying the position of the speech articulators, such as the tongue, jaw, and lips. Speech is created by digitally simulating the flow of air through the representation of the vocal tract. Mechanical talking heads There is a long history of attempts to build mechanical "talking heads". Gerbert (d. 1003), Albertus Magnus (1198–1280) and Roger Bacon (1214–1294) are all said to have built speaking heads ( Wheatstone 1837). However, historically confirmed speech synthesis begins with Wolfgang von Kempelen (1734–1804), who published an account of his research in 1791 (see also ). Electrical vocal tract analogs The first electrical vocal tract analogs were static, like those of Dunn (1950), Ken Stevens and colleag ...
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Magnetic Resonance Imaging
Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body. MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to generate images of the organs in the body. MRI does not involve X-rays or the use of ionizing radiation, which distinguishes it from CT and PET scans. MRI is a medical application of nuclear magnetic resonance (NMR) which can also be used for imaging in other NMR applications, such as NMR spectroscopy. MRI is widely used in hospitals and clinics for medical diagnosis, staging and follow-up of disease. Compared to CT, MRI provides better contrast in images of soft-tissues, e.g. in the brain or abdomen. However, it may be perceived as less comfortable by patients, due to the usually longer and louder measurements with the subject in a long, confining tube, though "Open" MRI designs mostly relieve this. Additionally, implants and oth ...
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Neurocomputational Speech Processing
Neurocomputational speech processing is computer-simulation of speech production and speech perception by referring to the natural neuronal processes of speech production and speech perception, as they occur in the human nervous system (central nervous system and peripheral nervous system). This topic is based on neuroscience and computational neuroscience. Overview Neurocomputational models of speech processing are complex. They comprise at least a cognitive part, a motor part and a sensory part. The cognitive or linguistic part of a neurocomputational model of speech processing comprises the neural activation or generation of a phonemic representation on the side of speech production (e.g. neurocomputational and extended version of the Levelt model developed by Ardi Roelofs: WEAVER++ as well as the neural activation or generation of an intention or meaning on the side of speech perception or speech comprehension. The motor part of a neurocomputational model of speech proc ...
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